Tools for Data Science
Completed by Natasha Diane Stoneking
May 1, 2020
16 hours (approximately)
Natasha Diane Stoneking's account is verified. Coursera certifies their successful completion of Tools for Data Science
What you will learn
Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data toolsÂ
Utilize languages commonly used by data scientists like Python, R, and SQLÂ
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features Â
Create and manage source code for data science using Git repositories and GitHub.Â
Skills you will gain
- Category: Jupyter
- Category: Integrated Development Environments
- Category: Data Visualization Software
- Category: Other Programming Languages
- Category: R (Software)
- Category: Software Development Tools
- Category: Version Control
- Category: Cloud Platforms
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: GitHub
- Category: Git (Version Control System)
